Enhancing volume visualization with lightness anchoring theory

Lin Zheng, Kwan-Liu Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Volume rendering is an effective method for visualizing 3D data. However, it's still difficult to obtain an effective image, especially when there are complicated structures which may cause underexposure problems. Adjusting light sources and parameters adds computational cost, without alleviating the underexposure phenomenon. This paper presents the novel idea of applying lightness anchoring theory for volume visualization enhancement. An anchoring hypothesis, the Highest-Luminance-As-White rule, is adjusted to adapt our volume rendered image. After employing the lightness anchored optimization, underexposed areas can be revealed while still preserving the local depth relationship.

Original languageEnglish (US)
Title of host publicationCGI 2017 - Proceedings of the 2017 Computer Graphics International Conference
PublisherAssociation for Computing Machinery
VolumePart F128640
ISBN (Electronic)9781450352284
DOIs
StatePublished - Jun 27 2017
Event2017 Computer Graphics International Conference, CGI 2017 - Yokohama, Japan
Duration: Jun 27 2017Jun 30 2017

Other

Other2017 Computer Graphics International Conference, CGI 2017
CountryJapan
CityYokohama
Period6/27/176/30/17

Fingerprint

Volume rendering
Light sources
Luminance
Visualization
Costs

Keywords

  • Anchoring rule
  • Perceived lightness
  • Volume visualization

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Zheng, L., & Ma, K-L. (2017). Enhancing volume visualization with lightness anchoring theory. In CGI 2017 - Proceedings of the 2017 Computer Graphics International Conference (Vol. Part F128640). [a20] Association for Computing Machinery. https://doi.org/10.1145/3095140.3095160

Enhancing volume visualization with lightness anchoring theory. / Zheng, Lin; Ma, Kwan-Liu.

CGI 2017 - Proceedings of the 2017 Computer Graphics International Conference. Vol. Part F128640 Association for Computing Machinery, 2017. a20.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zheng, L & Ma, K-L 2017, Enhancing volume visualization with lightness anchoring theory. in CGI 2017 - Proceedings of the 2017 Computer Graphics International Conference. vol. Part F128640, a20, Association for Computing Machinery, 2017 Computer Graphics International Conference, CGI 2017, Yokohama, Japan, 6/27/17. https://doi.org/10.1145/3095140.3095160
Zheng L, Ma K-L. Enhancing volume visualization with lightness anchoring theory. In CGI 2017 - Proceedings of the 2017 Computer Graphics International Conference. Vol. Part F128640. Association for Computing Machinery. 2017. a20 https://doi.org/10.1145/3095140.3095160
Zheng, Lin ; Ma, Kwan-Liu. / Enhancing volume visualization with lightness anchoring theory. CGI 2017 - Proceedings of the 2017 Computer Graphics International Conference. Vol. Part F128640 Association for Computing Machinery, 2017.
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